Psychological impact of COVID-19: a cross-lagged network analysis from the English Longitudinal Study of Aging COVID-19 database

dc.contributor.authorRamos Vera, Cristian
dc.contributor.authorGarcía O'Diana, Ángel
dc.contributor.authorBasauri Delgado, Miguel Ángel
dc.contributor.authorHuánuco Calle, Dennis
dc.contributor.authorSaintila, Jacksaint
dc.date.accessioned2023-03-22T21:23:57Z
dc.date.available2023-03-22T21:23:57Z
dc.date.issued2023
dc.descriptionIndexado en Scopus.
dc.descriptionEl texto completo de este trabajo no está disponible en el Repositorio Institucional UNIFE. Deberá acceder por el DOI ó URL de la casa editorial externa.
dc.descriptionFrontiers in Psychiatry ; Vol. 14 ; 2023 ; pp. 1-11
dc.description.abstractThe deleterious consequences of collinearity in linear regression on the precision of estimators of regression coefficients and the interpretability of the fitted model are widely recognized. In this study, we compare several methodologies for assessing collinearity in linear models and explore the effect of outliers on collinearity. The robustness of collinearity measures (individual and overall) is validated through two detailed Monte Carlo simulation study which also considers the effect of outliers on collinearity indices. The methods are illustrated with two real-world agricultural and fish morphology l data sets to show potential applications. The results do not provide any evidence for an effect from outliers on collinearity identification using the collinearity indices (individual and overall). The FG and Fj collinearity indices more robust as both sample size and collinearity degree increase. The VIF (individual measure) had a better performance on the fitted model with a greater number of parameters. © 2024, Science Publications. All rights reserved.
dc.identifier.doihttps://doi.org/10.3389/fpsyt.2023.1124257
dc.identifier.journalFrontiers in Psychiatry
dc.identifier.urihttp://hdl.handle.net/20.500.11955/1101
dc.identifier.urlhttps://www.scopus.com/record/display.uri?eid=2-s2.0-85149665840&doi=10.3389%2ffpsyt.2023.1124257&origin=inward&txGid=b3545f24dce7671be986f855b4afb950
dc.language.isoeng
dc.publisherFrontiers Media S.A.
dc.relation.ispartofurn:issn: 1664-0640
dc.rightsinfo:eu-repo/semantics/restrictedAccess
dc.rights.urihttps://creativecommons.org/licenses/by-nc-sa/4.0/
dc.sourceRepositorio Institucional - UNIFÉ
dc.subjectCovid-19 -- Aspectos psicológicos
dc.subject.ocdehttps://purl.org/pe-repo/ocde/ford#5.01.00
dc.titlePsychological impact of COVID-19: a cross-lagged network analysis from the English Longitudinal Study of Aging COVID-19 database
dc.typeinfo:eu-repo/semantics/article
unife.autor.afiliacionBasauri Delgado, Miguel Ángel

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